| Literature DB >> 30581476 |
El Hadji Amadou Niang1,2,3, Hubert Bassene1,4, Florence Fenollar4, Oleg Mediannikov2.
Abstract
People living in the tropical and subtropical regions of the world face an enormous health burden due to mosquito-borne diseases such as malaria, dengue fever, and filariasis. Historically and today, targeting mosquito vectors with, primarily, insecticide-based control strategies have been a key control strategy against major mosquito-borne diseases. However, the success to date of such approaches is under threat from multiple insecticide resistance mechanisms while vector control (VC) options are still limited. The situation therefore requires the development of innovative control measures against major mosquito-borne diseases. Transinfecting mosquitos with symbiotic bacteria that can compete with targeted pathogens or manipulate host biology to reduce their vectorial capacity are a promising and innovative biological control approach. In this review, we discuss the current state of knowledge about the association between mosquitoes and Wolbachia, emphasizing the limitations of different mosquito control strategies and the use of mosquitoes' commensal microbiota as innovative approaches to control mosquito-borne diseases.Entities:
Year: 2018 PMID: 30581476 PMCID: PMC6276417 DOI: 10.1155/2018/1470459
Source DB: PubMed Journal: J Trop Med ISSN: 1687-9686
Taxonomic classification of Wolbachia.
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Figure 1Electron microscopy of(a) Wolbachia cocci (Scale bar: 1 μm). (b) Zoom of two Wolbachia cells (Scale bar: 500 nm). (c) Zoom of a single Wolbachia cell (Scale bar: 100 nm). (by El Hadji Amadou Niang).
Figure 2Molecular Phylogenetic analysis of The evolutionary history was inferred using the Maximum Likelihood method based on the Tamura-Nei model [30]. The tree with the highest log likelihood (-4338.5700) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying the Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with the higher log likelihood value. The analysis involved five nucleotide sequences. All positions containing gaps and missing data were eliminated. There was a total of 1,411 positions in the final dataset. Evolutionary analyses were conducted in MEGA7 [31].
Figure 3Different phenotypes of Wolbachia's host reproductive manipulation.
Figure 4. (Modified from Russell & Steiner 2012, Myrmecological News Journal [57]). (a) Graph illustrating Wolbachia-infected (Blue shaded portion) and Wolbachia-uninfected (white portion) proportions by host taxon. (b) Histogram highlighting the frequencies Wolbachia infection of some dipteral families. The asterisk (∗) indicates the recent discovery of native Wolbachia within the Anopheles genus.
Taxonomic classification of mosquitoes (Diptera: Culicidae).
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Figure 5Classification of mosquitoes (DIPTERA: CULICIDAE) (by El Hadji Amadou Niang).
Main diseases transmitted by mosquito.
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| Yellow Fever virus |
| Humans | Monkeys |
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| Dengue (D1, D2, D3, D4) viruses |
| Humans | Monkeys |
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| Chikungunya virus ( |
| Humans | Monkeys |
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| Zika virus (ZIKV) |
| Humans | Monkeys |
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| Rift Valley fever virus |
| Sheep, Goats, Humans | Bats |
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| West Nile virus |
| Horses, Humans | Birds |
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| Equine Encephalitis virus |
| Horses | Birds |
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| Japanese Encephalitis virus |
| Horses, Humans | Pigs and wild birds |
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| Saint Louis Encephalitis virus |
| Humans, Animals | Birds |
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| Humans | Monkeys for |
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| Humans | Wild mammals for |
Native Wolbachia infections in natural mosquito populations.
| Host Taxa | Supergroups | Strains | GeneBank # | References | ||
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| Subfamily | Genera | Species | wsp | |||
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| B |
| AF020060 | Hertig and Wolbach 1924, Zhou |
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| B |
| AF020061 | Zhou | ||
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| A |
| AF317477 | Ruang-Areerate | ||
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| A |
| AF317480 | |||
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| B |
| AF317481 | |||
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| B |
| AF317482 | |||
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| A |
| AF317490 | |||
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| B |
| AF317491 | |||
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| B |
| - | Ricci | ||
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| B |
| - | |||
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| B, C |
| - | |||
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| A, B |
| AF020059, AF020059 | Wright and Wang 1980; Zhou | |
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| AF317475 | Ruang-Areerate | |||
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| AF317478 | ||||
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| AF317484 | ||||
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| AF317485 | ||||
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| AF317487 | ||||
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| AF317486 | ||||
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| - | Yen 1975; Dean & Dobson (2004); | ||||
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| - | |||||
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| - | |||||
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| C |
| - | Ricci | ||
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| C |
| - | |||
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| C |
| - | |||
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| B, C |
| - | |||
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| B |
| GQ981315 | Moreira et al., 2009 | ||
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| A |
| AF317488 | Ruang-Areerate | |
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| B |
| AF317493 | ||
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| B |
| AF317492 | |||
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| B |
| AF317479 | ||
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| A, B |
| KJ728739-MF944223 | Baldini |
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| A, B |
| KJ728755-MF944223 | |||
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| A, B |
| KJ728739- KJ728755 | Shaw | ||
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| A, B |
| - | Niang | ||
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| A,B |
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| Ayala et al., 2018 | ||
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| B |
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| B |
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| B |
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| B |
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| B |
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| B |
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| B |
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| B |
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| B |
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| A,B |
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